bayesreg: Bayesian Regression Models with Continuous Shrinkage Priors
Version 1.0

Fits linear or logistic regression model using Bayesian continuous shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Student-t distributed targets.

AuthorDaniel F. Schmidt and Enes Makalic
Date of publication2016-11-24 11:31:05
MaintainerDaniel F. Schmidt <dschmidt@unimelb.edu.au>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bayesreg")

Popular man pages

bayesreg: Fitting Bayesian Regression Models with Continuous Shrinkage...
predict.bayesreg: Predict method for Bayesian penalised regression (bayesreg)...
summary.bayesreg: Summarize Bayesian penalised regression (bayesreg) fits
See all...

All man pages Function index File listing

Man pages

bayesreg: Fitting Bayesian Regression Models with Continuous Shrinkage...
predict.bayesreg: Predict method for Bayesian penalised regression (bayesreg)...
summary.bayesreg: Summarize Bayesian penalised regression (bayesreg) fits

Functions

bayesreg Man page Source code
bayesreg.bfr Source code
bayesreg.computedic Source code
bayesreg.ess Source code
bayesreg.fastmvg2_rue Source code
bayesreg.fastmvg_bhat Source code
bayesreg.linregnlike Source code
bayesreg.logregnlike Source code
bayesreg.rinvg Source code
bayesreg.sample_beta Source code
bayesreg.sample_beta0 Source code
bayesreg.standardise Source code
predict.bayesreg Man page Source code
summary.bayesreg Man page Source code

Files

NAMESPACE
R
R/bayesreg.R
MD5
DESCRIPTION
man
man/predict.bayesreg.Rd
man/bayesreg.Rd
man/summary.bayesreg.Rd
bayesreg documentation built on May 19, 2017, 10:43 a.m.

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